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2003.01629
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Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
International Conference on Machine Learning (ICML), 2020
3 March 2020
Keita Ota
Tomoaki Oiki
Devesh K. Jha
T. Mariyama
D. Nikovski
OffRL
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Papers citing
"Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?"
26 / 26 papers shown
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies
Yi Ma
Hongyao Tang
Chenjun Xiao
Yaodong Yang
Wei Wei
Jianye Hao
Jiye Liang
OffRL
236
0
0
05 Aug 2025
Is Exploration or Optimization the Problem for Deep Reinforcement Learning?
Glen Berseth
OffRL
221
1
0
02 Aug 2025
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
Yihong Guo
Yu Yang
Pan Xu
Anqi Liu
OffRL
296
5
0
10 Jun 2025
Safety Representations for Safer Policy Learning
International Conference on Learning Representations (ICLR), 2025
Kaustubh Mani
Vincent Mai
Charlie Gauthier
Annie Chen
Samer Nashed
Liam Paull
232
2
0
27 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
553
21
0
21 Feb 2025
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
Neural Information Processing Systems (NeurIPS), 2024
Hongyao Tang
Glen Berseth
OffRL
363
11
0
07 Sep 2024
LLM-Empowered State Representation for Reinforcement Learning
Boyuan Wang
Yun Qu
Yuhang Jiang
Jianzhun Shao
Chang-rui Liu
Wenming Yang
Xiangyang Ji
361
28
0
18 Jul 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Fuchun Sun
Jingwen Yang
Zongqing Lu
Xiu Li
345
30
0
24 May 2024
Bridging State and History Representations: Understanding Self-Predictive RL
International Conference on Learning Representations (ICLR), 2024
Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
Pierre-Luc Bacon
AI4TS
AI4CE
478
48
0
17 Jan 2024
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
Hangyu Mao
Rui Zhao
Ziyue Li
Zhiwei Xu
Hao Chen
Yiqun Chen
Bin Zhang
Zhen Xiao
Junge Zhang
Jiangjin Yin
OffRL
138
11
0
26 Dec 2023
A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control
Han Xu
Jialin Zheng
Guannan Qu
149
3
0
07 Dec 2023
State Sequences Prediction via Fourier Transform for Representation Learning
Neural Information Processing Systems (NeurIPS), 2023
Mingxuan Ye
Yufei Kuang
Jie Wang
Rui Yang
Wen-gang Zhou
Houqiang Li
Feng Wu
AI4TS
244
14
0
24 Oct 2023
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL
European Conference on Artificial Intelligence (ECAI), 2023
Zhongjian Qiao
Jiafei Lyu
Xiu Li
318
7
0
23 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
314
1
0
11 Oct 2023
Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications
Abdulrahman Soliman
Amr M. Mohamed
Elias Yaacoub
Nikhil V. Navkar
A. Erbad
315
4
0
08 Oct 2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2023
Moritz Lange
Noah Krystiniak
Raphael C. Engelhardt
Wolfgang Konen
Laurenz Wiskott
OffRL
257
2
0
06 Oct 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Scott Fujimoto
Wei-Di Chang
Edward James Smith
S. Gu
Doina Precup
David Meger
OffRL
435
101
0
04 Jun 2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks
Neural Information Processing Systems (NeurIPS), 2023
Honghao Wei
Xin Liu
Weina Wang
Lei Ying
293
11
0
25 May 2023
A Survey on Transformers in Reinforcement Learning
Wenzhe Li
Hao Luo
Zichuan Lin
Chongjie Zhang
Zongqing Lu
Deheng Ye
OffRL
MU
AI4CE
651
76
0
08 Jan 2023
Transformer in Transformer as Backbone for Deep Reinforcement Learning
Hangyu Mao
Rui Zhao
Hao Chen
Jianye Hao
Yiqun Chen
Dong Li
Junge Zhang
Zhen Xiao
OffRL
231
10
0
30 Dec 2022
Reinforcement Learning with Automated Auxiliary Loss Search
Neural Information Processing Systems (NeurIPS), 2022
Tairan He
Yuge Zhang
Kan Ren
Minghuan Liu
Che Wang
Weinan Zhang
Yuqing Yang
Dongsheng Li
323
18
0
12 Oct 2022
DASHA: Decentralized Autofocusing System with Hierarchical Agents
A. Anikina
Oleg Y. Rogov
Dmitry V. Dylov
202
1
0
29 Aug 2021
Training Larger Networks for Deep Reinforcement Learning
Keita Ota
Devesh K. Jha
Asako Kanezaki
OffRL
299
47
0
16 Feb 2021
D2RL: Deep Dense Architectures in Reinforcement Learning
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
OffRL
AI4CE
313
64
0
19 Oct 2020
State Representation Learning from Demonstration
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2019
Astrid Merckling
Michael Pearce
Loic Cressot
Stéphane Doncieux
Matthias Poloczek
OffRL
261
9
0
15 Sep 2019
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt
Daniel Palenicek
Boris Belousov
Max Argus
Artemij Amiranashvili
Thomas Brox
Jan Peters
448
100
0
14 Feb 2019
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